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Integrating Field Experiments with Modeling to Investigate the Dynamics of Alternate Bearing in Citrus

机译:将现场实验与建模相结合,研究柑橘中备用轴承的动力学

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The management of alternate bearing has become an important issue in fruit production. The potential benefits of applying various alternate bearing control measures on alternate bearing crops can only be realized when yield information on individual trees of particular crops is obtained. This study investigates the dynamics of alternate bearing in citrus via an integrative use of field experiments and numerical simulation models. Fruit yield data on 48 individual trees in an experimental citrus orchard were recorded over a period of 4 consecutive years (from 2002 to 2005). An aerial image was used to measure the canopy size of individual trees. Models were developed based on different combinations of three variables: the time series yield data, thecanopy size and the derived yield density. The models were examined in terms of their potentials to predict fruit yield on individual trees. Results indicated that alternate bearing in citrus behaves more significantly in terms of yield density rather than total fruit yield on individual trees. The model based on canopy size and yield achieved the best prediction performance among the developed models, showing that a simple combination of the canopy size and the total yield for individual trees in one year can provide sufficient information for the yield attainability in the following year. This study demonstrates that the integrative use of field experiments and modeling approach has considerable promise in predicting citrus yield on individual trees.Yield estimates obtained by the proposed method would provide valuable information for planning harvest schedules and developing programs for site- and tree-specific application of variable rate technology (VRT) in citrus management.
机译:备用轴承的管理已成为水果生产中的重要问题。仅当获得有关特定作物的个别树木的产量信息时,才能实现对替代轴承作物应用各种替代轴承控制措施的潜在好处。这项研究通过现场实验和数值模拟模型的综合使用,研究了柑橘中备用轴承的动力学。连续4年(从2002年到2005年)记录了一个实验性柑桔园中48棵单独树木的水果产量数据。航空影像用于测量单个树木的树冠尺寸。基于三个变量的不同组合开发了模型:时间序列产量数据,冠层大小和导出的产量密度。根据模型预测单个树上水果产量的潜力检查了模型。结果表明,柑橘的轮作在产量密度方面表现得比在单个树上的总果实产量更显着。在已开发的模型中,基于冠层大小和产量的模型获得了最佳的预测性能,表明在一年中,单个树的冠层大小和总产量的简单组合可以为第二年的产量获得提供足够的信息。这项研究表明,田间试验和建模方法的综合使用在预测单个树木的柑橘产量方面具有很大的前景。通过该方法获得的大量估计值将为规划收获时间表和制定针对特定地点和树木的应用程序提供有价值的信息可变速率技术(VRT)在柑橘管理中的应用。

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